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UID:www.tcs.tifr.res.in/event/368
DTSTAMP:20230914T125921Z
SUMMARY:Synergistic Challenges in Data-Intensive Science and Exascale Compu
 ting
DESCRIPTION:Speaker: Vivek Sarkar (Rice University\nDepartment of Computer 
 Science\nP.O. Box 1892\nHouston\, TX 77251\nUnited States of America)\n\nA
 bstract: \nThe two dominant paradigms for scientific discovery have histor
 ically been theory and experiments\, with large-scale simulations emerging
  as the third paradigm in the 20th century. Over the past decade\, a new p
 aradigm for scientific discovery is emerging due to the availability of ex
 ponentially increasing volumes of data from large instruments such as tele
 scopes\, colliders\, and light sources\, as well as the proliferation of s
 ensors and high-throughput analysis devices.  These trends are popularly 
 referred to as "Big Data"\, and they have led to the emergence of a "fourt
 h paradigm" for scientific discovery that is driven by analysis of massive
  datasets to extract new knowledge and actionable insights. The complexity
  and challenge of the fourth paradigm arises from the increasing velocity\
 , heterogeneity\, and volume of data generation.\n \nAnalysis of large vo
 lumes of complex data to derive knowledge requires "data-driven" computing
 \, where the computation is driven by data mining\, queries\, analysis\, s
 tatistics\, and hypothesis formulation and validation.  At the same time\
 , large scale simulations that are expected to run on future exascale ("Bi
 g Compute") systems are accompanied by the challenges of data-intensive co
 mputing.  The requirements for Big Data and Big Compute are tightly inter
 twined since they both contribute to a shared goal of scientific discovery
 . For example\, data-intensive simulations on Big Compute exascale systems
  will be used to generate volumes of Big Data that are comparable to the d
 ata volumes generated by many scientific instruments.  Likewise\, the vol
 umes of Big Data generated by the data-driven paradigm will need to be ana
 lyzed by Big Compute exascale or extreme-scale systems.  As we head to th
 e exascale timeframe\, it will be critical to exploit synergies between th
 e two approaches\, even though some fundamental differences may still rema
 in between the two.\n \nThis talk will discuss some of these synergies in
  the context of challenges in data-intensive science and exascale computin
 g.  The material for this talk is drawn from a recent (March 2013) study 
 led by the speaker on "Synergistic Challenges in Data-Intensive Science an
 d Exascale Computing" for the US Department of Energy's Office of Science.
   Background material was also drawn from an earlier (September 2009) DAR
 PA Exascale Software Study\, also led by the speaker.  We would like to a
 cknowledge the contributions of all participants in both studies.\n \nBIO
 : Vivek Sarkar conducts research in multiple aspects of parallel software 
 including programming languages\, program analysis\, compiler optimization
 s and runtimes for parallel and high performance computer systems.  He cu
 rrently leads the Habanero Multicore Software Research project at Rice Uni
 versity\, and serves as Associate Director of the NSF Expeditions project 
 on the Center for Domain-Specific Computing. Prior to joining Rice in July
  2007\, Vivek was Senior Manager of Programming Technologies at IBM Resear
 ch.  His responsibilities at IBM included leading IBM's research efforts 
 in programming model\, tools\, and productivity in the PERCS project durin
 g 2002- 2007 as part of the DARPA High Productivity Computing System progr
 am.  His past projects include the X10 programming language\, the Jikes R
 esearch Virtual Machine for the Java language\, the MIT RAW multicore proj
 ect\, the ASTI optimizer used in IBM's XL Fortran product compilers\, the 
 PTRAN automatic parallelization system\, and profile-directed partitioning
  and scheduling of Sisal programs.  Vivek holds a B.Tech. degree from the
  Indian Institute of Technology\, Kanpur\, an M.S. degree from University 
 of Wisconsin-Madison\, and a Ph.D. from Stanford University. He became a m
 ember of the IBM Academy of Technology in 1995\, the E.D. Butcher Chair in
  Engineering at Rice University in 2007\, and was inducted as an ACM Fello
 w in 2008.  Vivek has been serving as a member of the US Department of En
 ergy's Advanced Scientific Computing Advisory Committee (ASCAC) since 2009
 .\n \nREFERENCES:\n \nhttp://science.energy.gov/~/media/ascr/ascac/pdf/r
 eports/2013/ASCAC_Data_Intensive_ Computing_report_final.pdf\nhttp://www.c
 s.rice.edu/~vsarkar\n\n \n \n \n
URL:https://www.tcs.tifr.res.in/web/events/368
DTSTART;TZID=Asia/Kolkata:20130522T110000
DTEND;TZID=Asia/Kolkata:20130522T120000
LOCATION:A-212 (STCS Seminar Room)
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